Gold fell to 3,331.18 USD/t.oz on June 24, 2025, down 1.11% from the previous day. Over the past month, Gold's price has fallen 0.46%, but it is still 43.58% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on June of 2025.

Get the latest insights on price movement and trend analysis of Gold in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East & Africa).

FINAL_USO Dataset

  Overview

The FINAL_USO dataset is a comprehensive collection of financial data, including stock prices, volumes, and other relevant metrics for various market indices and individual securities. This dataset is particularly suited for financial analysis, time series forecasting, and market trend analysis.

  Dataset Structure

The dataset is provided as a single CSV file named FINAL_USO.csv. It contains 1,718 entries and 80 columns, each… See the full description on the dataset page: https://huggingface.co/datasets/mltrev23/gold-price.

This statistic depicts the average annual prices for gold from 2014 to 2024 with a forecast until 2026. In 2024, the average price for gold stood at 2,388 U.S. dollars per troy ounce, the highest value recorded throughout the period considered. In 2026, the average gold price is expected to increase, reaching 3,200 U.S. dollars per troy ounce.

The size of the Gold Market was valued at USD 3.2 Trillion in 2023 and is projected to reach USD 4.5 Trillion by 2032, with an expected CAGR of 7.38% during the forecast period. It is one of the crucial financial assets with a liquid market, intrinsic value, and diversified uses in jewelry, electronics, and for investment purposes. Gold includes both the physical bullion and ETF markets. Mining and refining technological innovations enhance efficiency and sustainability.Gold provides economic stability and security of investments since it is durable, widely accepted, and one that diversifies portfolios. Hence, gold holds a very significant place both in consumer markets and financial systems through its support for industries ranging from luxury goods to technology. Recent developments include: March 2023: Pan American Silver Corporation acquired all the issued and outstanding common shares of Yamana Gold Inc., as part of the arrangement, which includes its mines and increased the geographical operations of the company in Latin America., February 2023: Barrick Gold, the world's second-biggest gold producer, announced a 10% increase in attributable proved and probable gold mineral reserves to 76 million ounces net of depletion in 2022 while maintaining current reserves.. Key drivers for this market are: Demand for Gold in the form of Jewelry and Long-term Savings, Increasing Consumption in High-End Electronics Applications; Other Drivers. Potential restraints include: Declining Ore Grades and Other Technical Challenges, Other Restraints. Notable trends are: Jewelry Segment to Dominate the Demand.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Machine Learning Models for Gold Price Prediction

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

In 2021, the global gold market decreased by -7.3% to $X for the first time since 2018, thus ending a two-year rising trend. The market value increased at an average annual rate of +3.1% from 2012 to 2021; however, the trend pattern indicated some noticeable fluctuations being recorded in certain years. Over the period under review, the global market reached the maximum level at $X in 2020, and then shrank in the following year.

This document contains statistical data and analysis of global gold demand and prices from 2010 to 2024, presented by Dojipedia, a website focused on Forex investment information. The data is organized quarterly and includes various categories of gold demand such as jewelry fabrication, technology use, investment, and central bank purchases. It also provides the LBMA gold price in US dollars per ounce for each quarter.The document highlights significant events that influenced gold prices and demand during this period. These events include major economic crises, geopolitical tensions, and market shifts. For instance, it mentions the European debt crisis in 2010, the U.S. credit rating downgrade in 2011, the Federal Reserve's quantitative easing tapering signals in 2013, and the COVID-19 pandemic's impact starting in 2020.The data shows how gold demand and prices often increase during times of economic uncertainty or political instability, as investors view gold as a safe-haven asset. For example, gold prices reached record highs in 2024 amid global economic and geopolitical uncertainties.Dojipedia presents itself as a platform with five years of Forex market investment experience. The site offers free educational content on technical analysis methods such as Elliott Wave, ICT Trading, and Smart Money Concept. It also mentions plans to publish free books on technical analysis.The document includes a disclaimer stating that the information provided is for general purposes only and not financial advice. It warns about the high risks associated with investing in financial markets like CFDs, Forex, cryptocurrencies, and gold. The disclaimer emphasizes that leveraged products may not be suitable for all investors due to the high risk to capital.Overall, this document serves as a comprehensive resource for those interested in gold market trends and their relationship to global economic events over the past decade and a half.

Analysis of ‘Daily Gold Price (2015-2021) Time Series’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/nisargchodavadiya/daily-gold-price-20152021-time-series on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Content

Daily gold prices (2014-01-01 to 2021-12-29)

Acknowledgements

Raw Data Source: https://in.investing.com/commodities/gold-mini This data frame is preprocessed to time series analysis and forecasting

Inspiration

Forecast, Predict Prices, Time Series Forecasting

Note

Gold Prices in this dataset makes no guarantee or warranty on the accuracy or completeness of the data provided.

--- Original source retains full ownership of the source dataset ---

Snapshot img

Gold Nanorods Market Size 2024-2028

The gold nanorods market size is forecast to increase by USD 218.1 million at a CAGR of 9.3% between 2023 and 2028.

The market is experiencing significant growth due to the increasing demand from the medical industry for cancer treatment applications. The trend toward advanced drug delivery is also driving market expansion. Gold nanorods' unique properties, such as their ability to absorb and scatter light, make them an ideal choice for various therapeutic and diagnostic applications. 
Furthermore, the use of gold nanorods in bioimaging and photothermal therapy is gaining popularity. However, the market growth is influenced by the fluctuations in gold prices, which can impact the affordability and profitability of gold nanorods. Despite this challenge, the market is expected to continue its upward trajectory due to the numerous benefits offered by gold nanorods in various industries, including healthcare, electronics manufacturing, and energy.

What will be the Size of the Gold Nanorods Market During the Forecast Period?

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The market encompasses the production and application of nanoscale gold particles In the form of rods, exhibiting unique optical and electronic properties. These nanorods find extensive use in various sectors, including healthcare, electronics, and energy, due to their exceptional physical and chemical properties. In healthcare, gold nanorods are utilized for biomedical applications such as targeted drug delivery, photodynamic therapy, biosensing, medical diagnostics, and imaging. Their high reactive surface area and tunable electron structure offer significant advantages In these areas. 
In electronics, gold nanorods contribute to the development of advanced technologies like electronic chips, printable inks, transistors, and semiconductors. Additionally, they exhibit anti-oxidant properties and can function as radiation enhancers, making them valuable in various diagnostic and therapeutic applications.
Gold nanorods' versatility and potential for innovation continue to drive growth in this market.

How is this Gold Nanorods Industry segmented and which is the largest segment?

The gold nanorods industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  Medical
  Diagnostics
  Electronics
  Others


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  Middle East and Africa



  South America

By Application Insights

The medical segment is estimated to witness significant growth during the forecast period.

Gold nanorods, a type of nanotechnology, have gained significant attention due to their unique optical and electronic properties. In the healthcare sector, they have been extensively used for various applications, including targeted drug delivery, photodynamic therapy, biosensing, and imaging. Gold nanorods' biocompatibility and non-cytotoxicity make them suitable for medical diagnostics and therapeutics. Their plasmonic effects enable photothermal therapy, which is effective in cancer cases. In electronics and energy sectors, gold nanorods are used in quantum computing, environmental monitoring, and energy harvesting, among others. Gold nanorods' surface modification with PEG, citrate, cysteine, biotin, or a gold-shell enhances their binding properties and applicability in DNA labelling and cancer therapy.

Gold nanorods' physical and chemical properties, including high reactive surface area, electron structure, and anti-oxidant properties, make them valuable in bio-synthesis, radiation enhancers, and tumor location. The synthesis methods, such as green methods, are crucial in maintaining the nanorods' shape and properties. Gold nanorods' applications extend to optoelectronics, photo imaging, and semiconductor industries, offering low cytotoxicity and ultra-light weight. Gold nanorods are also used in electronic devices, such as transistors, solar cells, and electronic connectors. In the environmental sector, gold nanorods are used for metal ions detection, including arsenic, mercury, lead, and copper. Gold nanorods' potential applications in nanowires, catalysis, and quantum computing further broaden their market scope.

Get a glance at the Gold Nanorods Industry report of share of various segments Request Free Sample

The Medical segment was valued at USD 137.80 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 41% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast

This chart tracks the price of gold in U.S. dollars over the last 10 years.

Vietnam gold price is daily data, collected from 01/01/2017 to 31/12/2021. However, the macro variables are monthly data. The monthly Vietnam gold price data are averaged of the days of the month and compiled from Sai Gon Joint Stock Commercial Bank (SCB). Deposit interest rate data are taken from the website of the International Monetary Fund (IMF). World gold price is taken from the average monthly price, data is taken from World Gold Council. The average interbank exchange rate between Vietnam Dong and US Dollar (USD/VND) data are averaged over the days of the month. Data of Vietnamese consumer price index by month is obtained from the website of the central bank of Vietnam and the General Statistics Office of Vietnam. Dummy variables have a value of 1 when it coincides with the epidemic wave and 0 when it is not.

The Gold Market Report is segmented by type (alloyed gold and layered gold), application (jewelry, electronics, awards and status symbols, and other applications), and geography (Asia-Pacific, North America, Europe, South America, and the Middle East and Africa). The market size and forecasts are provided in terms of volume (tonnes) for the above segments.

Dataset Card for Sentiment Analysis of Commodity News (Gold)

This is a news dataset for the commodity market which has been manually annotated for 10,000+ news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021). The dataset was curated by Ankur Sinha and Tanmay Khandait and is detailed in their paper "Impact of News on the Commodity Market: Dataset and Results." It is currently published by the authors on… See the full description on the dataset page: https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold.

The size and share of this market is categorized based on Mining (Artisanal Mining, Small-Scale Mining, Large-Scale Mining, Underground Mining, Open-Pit Mining) and Jewelry (Gold Jewelry, Fashion Jewelry, Luxury Jewelry, Customized Jewelry, Branded Jewelry) and Investment (Gold Bullion, Gold ETFs, Gold Futures, Gold Coins, Gold Accumulation Plans) and Industrial Applications (Electronics, Aerospace, Medical Devices, Automotive, Nanotechnology) and geographical regions (North America, Europe, Asia-Pacific, South America, Middle-East and Africa).

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Gold: A Brighter Future Ahead?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Context

Gold, the yellow shiny metal, has been the fancy of mankind since ages. From making jewelry to being used as an investment, gold covers a huge spectrum of use cases. Gold, like other metals, is also traded on the commodities indexes across the world. For better understanding time series in a real-world scenario, we will work with gold prices collected historically and predict its future value.

Content

Metals such as gold have been traded for years across the world. Prices of gold are determined and used for trading the metal on commodity exchanges on a daily basis using a variety of factors. Using this daily price-level information only, our task is to predict future price of gold.

Data

For the purpose of implementing time series forecasting technique , i will utilize gold pricing from Quandl. Quandl is a platform for financial, economic, and alternative datasets. To access publicly shared datasets on Quandl, we can use the pandas-datareader library as well as quandl (library from Quandl itself). The following snippet shows a quick one-liner to get your hands on gold pricing information since 1970s.

import quandl gold_df = quandl.get("BUNDESBANK/BBK01_WT5511")

The time series is univariate with date and time feature

Starter Kernel(s)

-Start with Fundamentals: TSA & Box-Jenkins Methods

This notebook is an overview of TSA and traditional methods

Acknowledgements

For this dataset and tasks, i will depend upon Quandl. The premier source for financial, economic, and alternative datasets, serving investment professionals. Quandl’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers and investment banks.

Inspiration

• Forecast gold price

*If you find the data useful your upvote is an explicit feedback for future works, Have fun exploring data!*

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MORE DATASETs ...

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

How does stagflation affect gold prices?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The size of the gold market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of XXX% during the forecast period. Gold is a precious metal that has been highly valued by human societies for thousands of years due to its rarity, beauty, and unique properties. Chemically, gold is a soft, yellow metal that is resistant to corrosion, tarnishing, and oxidation, which makes it ideal for use in jewelry, coins, and decorative items. It is a noble metal, meaning it does not easily react with other elements, which has contributed to its historical significance as a symbol of wealth and power. Gold is also an excellent conductor of electricity and is highly malleable, allowing it to be shaped into intricate designs or thin sheets, making it indispensable in various industrial applications, including electronics, dentistry, and aerospace. As an investment, gold is seen as a safe haven during periods of economic instability, with its value often rising in times of inflation or financial crisis. The extraction of gold, however, is a complex and environmentally impactful process, involving mining, refining, and sometimes toxic chemicals. Despite this, gold remains an essential commodity in the global economy, not only in terms of its financial value but also for its cultural and industrial significance. Its enduring appeal as a store of value and a medium of exchange continues to shape economies and societies worldwide. The growing demand for gold as a safe haven asset, rising disposable income, and the increasing usage of gold in jewelry and technology are driving this growth. Hybrid seeds have numerous benefits, including improved yield, disease resistance, and adaptability to different climates. Government initiatives to promote the adoption of hybrid seeds, coupled with rising food security concerns, are further contributing to their market growth. Technological advancements in seed breeding and genetic engineering are also enabling the development of improved hybrid varieties. Recent developments include: In March 2023, Pan American Silver Corporation announced the acquisition of all the issued and outstanding common shares of Yamana Gold Inc. as part of the arrangement, which includes its mines and increased the geographical operations of the company in Latin America..

As of May 2025, the London (morning fixing) price of an ounce of gold cost an average of ******** U.S. dollars, a slight increase compared to the average monthly morning fixing price of ******** U.S. dollars per ounce in the previous month.

London fixing gold price In January 2020, the average price for an ounce of fine gold was ******** U.S. dollars. It increased to ******** U.S. dollars as of April 2022. Although the monthly price for fine gold fluctuates, the average annual price of fine gold is gradually increasing. In 2001, the price for one ounce of gold was *** U.S. dollars, and by 2012 the price had risen to some ***** U.S. dollars. By 2024, the annual average gold price was nearly ***** dollars per ounce. In that year, global gold demand reached ******* metric tons worldwide. Price determinants of fine gold Fine gold is considered to be almost pure gold, where the value of the metal depends on the percentage of fineness. Twenty-four-carat gold is considered fine gold (from 99.9 percent gold by mass and higher). The London Gold Fix acts as a benchmark for the price of gold. The price of gold is set by the members of the London Gold Market Fixing Ltd undertaken by Barclays and its other members. The price is determined twice per business day at 10:30 am and 3:00 pm based on the London bullion market to settle contracts within the bullion market. The price is based on the equilibrium point between supply and demand agreed upon by participating banks. Gold prices must remain flexible, and gold fixing provides an instantaneous price at specified times.